Results 121 to 130 of about 63,281 (246)

An isoreticular series of Zr-tricarboxylate based metal-organic nanosheets for water purification applications. [PDF]

Nanoscale Adv
Tan J, Lingard BJ, Prasad RRR, Kimberley L, Bretherton-Liu K, Foster JA.   +5 more
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Zr-induced structural modulation of monoclinic WO₃ nanostructures for aqueous supercapacitors. [PDF]

RSC Adv
Suryavanshi PB, Al-Naggar AH, Gaikwad HK, Deore SV, Suryavanshi BM.   +4 more
europepmc   +1 more source

Type‐II Dirac Fermions in Monolayer In2O: Interplay of Magnetotransport, Spin Hall Effect, and Superconductivity

Advanced Science, EarlyView.
First‐principles calculations reveal that monolayer In2O${\rm In}_2{\rm O}$ hosts type‐II Dirac fermions near the Fermi level, which split into Weyl points under spin‐orbit coupling. The material exhibits negative and giant magnetoresistance, a pronounced spin Hall effect, and phonon‐mediated superconductivity at 1.5 K, establishing it as a unique ...
Qing‐Bo Liu, De‐Ming Feng, Wen‐Neng Zhao, Yu‐Yang Zhao, Lun Xiong, Xing‐Yi Tan, Hua‐Hua Fu   +6 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Engineering of Crystal and Domain Structures in Epitaxial Y:HfO2 Thin Films by YSZ Substrate Miscut

Advanced Science, EarlyView.
We investigate how YSZ substrate miscut influences crystal structure and domain formation in epitaxial Y‐doped HfO2 thin films. Using magnetron sputtering, high‐resolution X‐ray diffraction, atomic‐resolution scanning transmission electron microscopy, and first‐principles calculations, we systematically examine the characteristics of thickness‐ and ...
Jun Young Lee, Hyung‐Jin Choi, Kun Hee Ye, Haneul Choi, Byeong‐hyeon Lee, Min‐Seok Kim, Dong‐Hun Han, June Hyuk Lee, Sung Ok Won, Tae Heon Kim, Hye Jung Chang, Jung‐Hae Choi, Seung‐Hyub Baek   +12 more
wiley   +1 more source

Effect of Zr Content on the Microstructure and Corrosion Behavior of 1235D Aluminum Alloy. [PDF]

Materials (Basel)
Li J, Liu Y, Li S, Zhao E.
europepmc   +1 more source

Superatom Distortion Induces Triferroicity and Spin Splitting in Two‐Dimensional Antiferromagnets

Advanced Science, EarlyView.
The incorporation of superatoms into a 2D square lattice induces symmetry breaking, thereby enabling concurrent coupling among magnetism, ferroelectricity, and ferroelasticity. This strategy achieves triferroic behavior—characterized by spin‐split antiferromagnetic ground states—and offers a viable pathway toward energy‐efficient spintronic devices ...
Zhen Gao, Fengxian Ma, Guoping Gao, Weizhen Meng, Ying Liu, Yandong Ma, Yalong Jiao   +6 more
wiley   +1 more source

Synergistic Grain Refinement and Insulating Phase Formation via Zr⁴⁺ Doping for Low-Loss Colossal Permittivity in (In,Nb) Codoped TiO₂ Ceramics. [PDF]

ACS Omega
Xu P, Qiu X, Sun B, Sun L, Cao E, Hao W.
europepmc   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source